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Diabetic technology in India: Status, barriers, and future prospects
Get PDFThis article provides a comprehensive review of diabetic technology in India. Researchers are persistently integrating novel technologies and enhanced medical knowledge to offer further avenues for improving the well-being of individuals with diabetes. Continuous patient engagement is essential by using highly effective technologies that address pertinent issues, as certain problems can be resolved with precision. India has a demographically large population, characterized by a substantial segment of individuals with diabetes. The estimated prevalence of diabetes in India is approximately 8%, with type 2 diabetes accounting for half of these occurrences. India’s per capita expenditure on health constantly falls behind that of other developing countries. Refined statistical data indicate that India’s healthcare expenditure is <50% of the average expenditure observed in the Organization for Economic Co-operation and Development (OECD) countries
Global research patterns in corporate social responsibility within electronic commerce: A bibliometric analysis
Get PDFThis study examines the importance of corporate social responsibility (CSR) in e-commerce literature by locating and collecting data from academic publications. By doing a search using specific terms such as “e-commerce,” “electronic commerce,” and “corporate social responsibility” in a prominent online publisher’s database from 2001 to 2023, our analysis reveals the increasing importance of CSR matters in the field of e-commerce. Multiple levels of observation have identified this growing trend (conceptual, geographical, and technological). This article primarily focuses on providing a conceptual framework that provides the economic reason for the increasing interest in corporate social responsibility (CSR) issues in the field of electronic commerce. While there are several ethical and social aspects that can account for this interest, this research specifically explores the complementary justification
Variation analysis in historical demographic distribution within urban agglomeration: Experimental evidence from the Wuhan “1+8” City Circle
Get PDFUnderstanding the spatial distribution of population is crucial in regional research, as it informs the development of effective population policies, long-term regional planning, and the balanced growth of the economy, resources, and environment. This study employs a quantitative approach to construct a research framework using demographic data to elucidate the historical population dynamics within the Wuhan “1+8” City Circle (WCC). The study examines whether the central city and its peripheral cities have experienced coordinated growth or if a town has dominated. The findings reveal several key findings and insights: Wuhan, as the core city of the WCC and the capital of Hubei Province, shows population growth driven not only by natural increases but also by a significant population siphoning effect, with Hongshan of Wuhan experiencing the most pronounced impact; from 2010 to 2020, the WCC’s overall population distribution displayed a dispersal trend, while population density continued to concentrate, particularly around Wuhan and its vicinity, thereby establishing Wuhan as a central population hub. Gender distribution within the WCC generally reflects a higher proportion of males than females, with exceptions in Jiang’an of Wuhan and Huangshigang of Huangshi, where females outnumber males. This pattern may result from attracting male labor to industrial parks and female labor to service sectors. In summary, the WCC needs to refine its regional development strategies, especially for crucial siphoning areas such as Hongshan of Wuhan and Wuchang of Wuhan, to foster balanced regional growth. Additionally, policies to encourage childbirth, enhance elderly care services, and implement a comprehensive population data monitoring and forecasting system are crucial for addressing demographic shifts and achieving sustainable development
The impact of land use and cover changes on river flows in Wundanyi Catchment of Taita Hills, Kenya (1970–2030)
Get PDFTaita Hills are one of the most important biodiversity hotspots of Kenya but are experiencing a high rate of deforestation due to the to the conversion of its original forestland to agriculture and settlement during the last century. These landscape dynamics, coupled with rainfall fluctuations in these critical ecosystems, may significantly affect water resource distribution and food security in Taita Taveta County and its environs. This study aimed to establish the trends of land use/cover change (LUCC) in the Wundanyi catchment from 1970 to 2030 and predict their specific and combined effects on surface runoff and stream flow in the same period. The analysis was based on statistical trend analysis and dynamic landscape modeling using both historical and primary data from the Wundanyi catchment and Landsat TM and ETM+ imagery of Taita Hills for 1990, 2000, and 2010. Results show highly variable mean seasonal and annual values of discharge in Wundanyi catchment, probably attributed to environmental changes affecting Taita Hills in general and Wundanyi catchment in particular. Compared to 1990, major land use/cover changes in 2010 were featured by the expansion of built-up area (250%), plantation forest (23.7%), broadleaved forest (17.4%), and thicket (15.9%). It was also notable the decrease in woodland (−30.3%), cropland (−21.6%), and shrubland (−0.8%). Dynamic spatial trends by the year 2030 will be evidenced by increased thicket by 0.41% per annum (R2 = 81.6%) and by decreased plantation forests (−0.13%; R2 = 91.3%), woodland (−0.10%; R2 = 77.6%), shrubland (−0.11%; R2 = 85.2%), broadleaved forests (−0.03%; R2 = 56.6%) and cropland (−0.09%; R2 of 84.4). These changes will shape the catchment landscape and influence its hydrology, unless the existing forest and agricultural policy interventions are enforced. Hence, crop diversification, agroforestry, and soil and water conservation structures are recommended to maintain effective control of LUCC on hydrological processes going on in the Wundanyi catchment
Legendre-Galerkin spectral algorithm for fractional-order BVPs: Application to the Bagley-Torvik equation
Get PDFHerein, we provide an efficient spectral Galerkin algorithm, according to a special type of shifted Legendre basis for finding a semi-analytic solution to the Liouville-Caputo fractional boundary value problem. The algorithm’s main goal is to transform the fractional differential problem into a linear system with efficiently invertible, well-structured matrices. The convergence rates of the algorithm are carefully obtained as well as the error bound
On galaxies of sequences of toeplitz matrix solutions of the Diophantine Equation Xn + Yn = Zn, n ≥ 3
Get PDFWe construct the galaxies of sequences of Toeplitz matrix solutions of the Diophantine equation Xn + Yn = Zn, n ≥ 3, linked to Pythagorean triples
Integration of Leap Motion sensor with camera for better performance in hand tracking
Get PDFIn this paper, we propose a framework for hand tracking in human-computer interaction applications. Leap Motion is used today as a popular interface in virtual reality and computer games. In this study, we evaluated the merits and drawbacks of this device. The limitations of this device restrict the user’s free movement. The purpose of this study is to find an optimal solution for using Leap Motion. We propose a framework to estimate the pose of the hand in a bigger space around Leap Motion. Our framework uses an integration of Leap Motion with a camera that are placed in two different places to capture the information of the hand from various views. The experiments are designed based on the common tasks in the human-computer interaction applications. The finding of this study demonstrates that the proposed framework increases the precise interaction space
Recent advances of three-dimensional reconstruction technology and its application in modern agriculture
Get PDFThe timely acquisition of agricultural information is fundamental to smart agriculture, providing a basis for decision-making in agricultural production and ensuring protection against risks. With advancements in computer vision and machine learning, 3D reconstruction, the process of generating detailed digital models, has demonstrated substantial potential for mining and recording crucial information from objects, including geometry, structural attributes, visual appearance and other properties. This paper summarizes the applications of 3D reconstruction and measurement in the field of agricultural information acquisition based on prior research. It first reviews the 3D reconstruction and its related techniques and algorithms, then conducts a comprehensive analysis of the applications of 3D reconstruction and measurement in crop cultivation, animal husbandry, aquaculture and post-harvest products. It can be concluded that compared to traditional two-dimensional imagery, 3D reconstruction and measurement offer richer and more comprehensive information for agricultural practices, showing better performance in tasks such as organ segmentation, geometry measurement, health monitoring and simulation analysis. Future works can be launched from keeping up with the latest reconstruction technology, accelerating the 3D reconstruction, fusing multi-sensor data and combining 3D reconstruction with other information acquisition technologies
IoT forensics: Challenges, methodologies, and future directions in securing the Internet of Things ecosystem
Get PDFThe rapid growth of the Internet of Things (IoT) has significantly impacted digital forensics, introducing both new opportunities and challenges. IoT forensics, a specialized field within digital forensics, focuses on the acquisition, analysis, and interpretation of data from diverse IoT devices such as smart home systems, wearables, and industrial platforms. This review examines the current state of IoT forensics, highlighting challenges such as device diversity, data volatility, encryption, and the need for real-time analysis. It also evaluates existing forensic methodologies and tools, assessing their effectiveness and limitations in addressing these challenges. Furthermore, the paper identifies critical research gaps and proposes future directions, including the development of standardized forensic frameworks and greater collaboration between IoT manufacturers and forensic experts. The aim is to advance IoT forensic practices to keep pace with rapidly evolving IoT technologies, thereby enhancing the investigation and prosecution of cybercrimes
Regularization of the Cauchy problem for matrix factorizations of the Helmholtz equation in an unbounded domain
Get PDFIn this paper, a regularized solution to the Cauchy problem for matrix factorization of the Helmholtz equation in a three-dimensional unbounded domain is constructed explicitly based on the Carleman matrix. When solving applied problems, in addition to an approximate solution, the derivative of the approximate solution is found. It is assumed that the solution to the problem exists and is continuously differentiable in a closed domain with precisely specified Cauchy data. An explicit formula for continuing the solution and its derivative is established, as well as a regularization formula for the case when, under the specified conditions, instead of the original Cauchy data, their continuous approximations with a specified error in the uniform metric are given. As a result, the stability of the solution to the Cauchy problem in the classical sense is estimated